/external/tensorflow/tensorflow/contrib/layers/python/layers/ |
D | feature_column_test.py | 63 a = fc.sparse_column_with_hash_bucket("aaa", hash_bucket_size=100) 68 a = fc.sparse_column_with_hash_bucket("aaa", hash_bucket_size=100) 73 "aaa", hash_bucket_size=100, dtype=dtypes.int64) 79 "aaa", hash_bucket_size=100, dtype=dtypes.float32) 125 "aaa", hash_bucket_size=100, combiner="sum") 133 "aaa", hash_bucket_size=100, combiner="sum") 300 "b", hash_bucket_size=100, combiner="sum") 337 column_name="ids", hash_bucket_size=10, hash_keys=hash_keys) 359 column_name="ids", hash_bucket_size=100, hash_keys=[]) 364 column_name="ids", hash_bucket_size=100, hash_keys=1) [all …]
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D | feature_column_ops_test.py | 421 "language", hash_bucket_size=3) 423 "country", hash_bucket_size=5) 425 [language, country], hash_bucket_size=15) 453 "country", hash_bucket_size=5) 455 [country, price_bucket], hash_bucket_size=15) 477 "country", hash_bucket_size=5) 482 [country, price_bucket], hash_bucket_size=1000) 515 "country", hash_bucket_size=5) 517 [country, price_bucket], hash_bucket_size=15) 520 [wire, country_price], hash_bucket_size=15) [all …]
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D | feature_column.py | 609 hash_bucket_size, argument 647 bucket_size=hash_bucket_size, 2277 hash_bucket_size, argument 2289 if hash_bucket_size < 2: 2291 "hash_bucket_size: {}".format(hash_bucket_size)) 2300 hash_bucket_size, hash_key, 2320 return self.hash_bucket_size 2386 num_buckets=self.hash_bucket_size, 2430 def crossed_column(columns, hash_bucket_size, combiner="sum", argument 2471 hash_bucket_size,
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/external/tensorflow/tensorflow/tools/dist_test/python/ |
D | census_widendeep.py | 63 "education", hash_bucket_size=1000) 65 "marital_status", hash_bucket_size=100) 67 "relationship", hash_bucket_size=100) 69 "workclass", hash_bucket_size=100) 71 "occupation", hash_bucket_size=1000) 73 "native_country", hash_bucket_size=1000) 88 hash_bucket_size=int(1e4)), 90 hash_bucket_size=int(1e4)), 92 hash_bucket_size=int(1e6))]
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/external/tensorflow/tensorflow/contrib/linear_optimizer/python/ |
D | sdca_estimator_test.py | 126 'country', hash_bucket_size=5) 156 'country', hash_bucket_size=5) 187 'language', hash_bucket_size=5) 189 'country', hash_bucket_size=5) 191 [language, country], hash_bucket_size=10) 224 'country', hash_bucket_size=5) 226 [sq_footage_bucket, country], hash_bucket_size=10) 300 'country', hash_bucket_size=5) 302 [sq_footage_bucket, country], hash_bucket_size=10) 335 'country', hash_bucket_size=5)
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/external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
D | linear_test.py | 196 'language', hash_bucket_size=20) 257 'language', hash_bucket_size=20) 484 'language', hash_bucket_size=2e7) 824 'country', hash_bucket_size=5) 855 'country', hash_bucket_size=5) 886 'language', hash_bucket_size=5) 888 'country', hash_bucket_size=5) 890 [language, country], hash_bucket_size=10) 924 'country', hash_bucket_size=5) 926 [sq_footage_bucket, country], hash_bucket_size=10) [all …]
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D | dnn_test.py | 266 'language', hash_bucket_size=20) 383 'language', hash_bucket_size=20) 427 'language', hash_bucket_size=20) 474 'language', hash_bucket_size=20) 582 'language', hash_bucket_size=20) 721 'language', hash_bucket_size=20) 767 'language', hash_bucket_size=20) 888 'language', hash_bucket_size=20) 937 'language', hash_bucket_size=2e7) 1118 'language', hash_bucket_size=20) [all …]
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D | svm_test.py | 185 'country', hash_bucket_size=5) 243 'country', hash_bucket_size=5) 245 [sq_footage_bucket, country], hash_bucket_size=10)
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D | dnn_linear_combined_test.py | 327 'language', hash_bucket_size=20) 413 'dummy_sparse_column', hash_bucket_size=100)) 459 'dummy_sparse_column', hash_bucket_size=100)) 488 'language', hash_bucket_size=2e7) 567 'language', hash_bucket_size=20) 1356 'language', hash_bucket_size=20) 1395 'language', hash_bucket_size=20) 1556 'language', hash_bucket_size=20) 1638 'language', hash_bucket_size=2e7) 1688 'language', hash_bucket_size=20) [all …]
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/external/tensorflow/tensorflow/python/feature_column/ |
D | feature_column.py | 985 hash_bucket_size, argument 1027 if hash_bucket_size is None: 1030 if hash_bucket_size < 1: 1033 hash_bucket_size, key)) 1037 return _HashedCategoricalColumn(key, hash_bucket_size, dtype) 1444 def crossed_column(keys, hash_bucket_size, hash_key=None): argument 1548 if not hash_bucket_size or hash_bucket_size < 1: 1550 'hash_bucket_size: {}'.format(hash_bucket_size)) 1567 keys=tuple(keys), hash_bucket_size=hash_bucket_size, 2447 sparse_values, self.hash_bucket_size, name='lookup') [all …]
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D | feature_column_test.py | 346 a = fc.categorical_column_with_hash_bucket('aaa', hash_bucket_size=10) 572 self.assertEqual(10, a.hash_bucket_size) 594 self.assertEqual(10, column.hash_bucket_size) 863 self.assertEqual(15, crossed2_copy.hash_bucket_size) 895 hash_bucket_size = 10 897 [bucketized_price, 'wire'], hash_bucket_size) 912 self.assertIn(val, list(range(hash_bucket_size))) 959 crossed = fc.crossed_column([b, 'c'], hash_bucket_size=5, hash_key=5) 989 crossed = fc.crossed_column([b, 'c'], hash_bucket_size=5, hash_key=5) 1043 crossed = fc.crossed_column([t, 'c'], hash_bucket_size=5, hash_key=5) [all …]
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/external/tensorflow/tensorflow/tools/api/golden/ |
D | tensorflow.feature_column.pbtxt | 9 …argspec: "args=[\'key\', \'hash_bucket_size\', \'dtype\'], varargs=None, keywords=None, defaults=[… 25 …argspec: "args=[\'keys\', \'hash_bucket_size\', \'hash_key\'], varargs=None, keywords=None, defaul…
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/external/tensorflow/tensorflow/python/estimator/ |
D | warm_starting_util_test.py | 343 "sc_hash", hash_bucket_size=15) 542 "sc_hash", hash_bucket_size=15) 549 cross = fc.crossed_column([sc_keys, sc_vocab], hash_bucket_size=20) 636 "sc_hash", hash_bucket_size=15) 705 "sc_hash", hash_bucket_size=15) 765 "sc_hash", hash_bucket_size=15)
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/external/tensorflow/tensorflow/examples/get_started/regression/ |
D | linear_regression_categorical.py | 74 key="make", hash_bucket_size=50)
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D | dnn_regression.py | 65 key="make", hash_bucket_size=50)
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D | custom_regression.py | 120 key="make", hash_bucket_size=50)
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/external/tensorflow/tensorflow/docs_src/tutorials/ |
D | wide.md | 180 'occupation', hash_bucket_size=1000) 231 'occupation', hash_bucket_size=1000) 290 ['education', 'occupation'], hash_bucket_size=1000) 300 [age_buckets, 'education', 'occupation'], hash_bucket_size=1000) 325 ['education', 'occupation'], hash_bucket_size=1000), 327 [age_buckets, 'education', 'occupation'], hash_bucket_size=1000),
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D | wide_and_deep.md | 95 'occupation', hash_bucket_size=1000) 115 ['education', 'occupation'], hash_bucket_size=1000), 117 [age_buckets, 'education', 'occupation'], hash_bucket_size=1000),
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D | linear.md | 114 "education", hash_bucket_size=1000) 136 ["sport", "city"], hash_bucket_size=int(1e4))
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/external/tensorflow/tensorflow/contrib/kernel_methods/python/ |
D | kernel_estimators_test.py | 207 'country', hash_bucket_size=5)
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/external/tensorflow/tensorflow/contrib/learn/python/learn/utils/ |
D | saved_model_export_utils_test.py | 690 "sparse_column", hash_bucket_size=100) 693 "sparse_column_for_embedding", hash_bucket_size=10),
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/external/tensorflow/tensorflow/docs_src/get_started/ |
D | feature_columns.md | 287 the `hash_bucket_size` categories using the modulo operator, as in the following 408 the `crossed_column` only builds the number requested by the `hash_bucket_size` 411 `hash_bucket_size`.
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/external/tensorflow/tensorflow/python/estimator/canned/ |
D | linear_testing_utils.py | 177 'language', hash_bucket_size=x_dim),), 214 'language', hash_bucket_size=x_dim),), 1846 'occupation', hash_bucket_size=5)
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/external/tensorflow/tensorflow/contrib/boosted_trees/python/training/functions/ |
D | gbdt_batch_test.py | 116 "sparse_categorical", hash_bucket_size=1000000))
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